Data & Data Culture

Stanley Black & Decker’s CTO discusses responsible and sustainable AI and how the company uses AI to innovate.

During this LinkedIn live event, speakers from Levi Strauss & Co., MIT Sloan Management Review, and Boston Consulting Group outline how AI implementation improves corporate culture.

Sidney Madison Prescott explains how Spotify uses AI to free up workers to focus on more value-added, creative tasks.

Respondents to recent global surveys say their organizations are capturing substantial value from AI.

The internet giants control vast stores of data — and that may limit innovation at other companies.

Barbara Martin Coppola explains how IKEA’s digital transformation is a natural extension of its collaborative culture.

Scotiabank’s focus on AI projects likely to deliver value in a short time frame is paying off.

Salesforce’s Paula Goldman discusses how the tech company produces value-creating solutions with ethics in mind.

New research points to a strong, multidimensional link between AI use and improvements in organizational culture.

The collective intelligence of remote teams, synthetic data for machine learning, and delegation to bridge virtual distance.

AI techniques can generate training data that retains the predictive power of real-world data.

Kay Firth-Butterfield (the World Economic Forum), Ya Xu (LinkedIn), and Charlotte Degot (BCG GAMMA) join MIT SMR senior project editor Allison Ryder for a discussion on innovating with artificial intelligence.

Fostering tech-mediated collaboration, dignity in employee data use, and in-house social intrapreneurship.

Companies that manage employee data responsibly are better able to grow trust across the company while gaining insights.

DBS Bank’s CEO exemplifies how a willingness to experiment and even fail can help advance new technologies like AI.

Making your organization fit for data, enhancing value with nontraditional stakeholders, and supporting working parents.

New research highlights nine key factors impeding organizations’ ability to advance their data science progress.

New value creation with strategic data assets, in-store shopping to build customer loyalty, and habits to enable enduring culture change.

To monetize data, companies must first transform it so it can be reused and recombined to create new value.

Six strategies can help guide data science teams toward greater success in cross-unit projects.